Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

MicroRNAs01:22

MicroRNAs

4.3K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
4.3K
MicroRNAs01:22

MicroRNAs

24.6K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
24.6K
MicroRNAs01:22

MicroRNAs

12.0K
12.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Frailty in Cardiac Surgery-Is It the Missing Link in the Era of Precision Medicine.

Anesthesia and analgesia·2026
Same author

Single-Molecule Discrimination of Multisialylated Ganglioside Oligosaccharides Using an Engineered Nanopore.

Research (Washington, D.C.)·2026
Same author

Frequent police contact and nonfatal overdose among people who use drugs in rural Appalachia.

Drug and alcohol dependence·2026
Same author

Quality of life during electronic patient-reported outcome (ePRO) monitoring in thoracic surgery patients: a pilot randomized controlled trial.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same author

[Research progress in repair of post-epicanthoplasty deformity].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2026
Same author

TLR7 inhibition limits cardiac ischemic injury by disrupting ITGAM-dependent immune-endothelial interaction.

bioRxiv : the preprint server for biology·2026
Same journal

Protocol for monitoring intestinal plasma membrane integrity breached by bacterial pore-forming toxin in Caenorhabditis elegans.

STAR protocols·2026
Same journal

Protocol for quantifying cellular drug-target engagement across a temperature series using the MICRO-TAG enzyme complementation assay.

STAR protocols·2026
Same journal

Protocol to prepare inclusion complex-enhanced cannabinoid nano-micelles for behavioral pharmacology and in vivo neurophysiology in mice.

STAR protocols·2026
Same journal

Protocol for somatic cell nuclear transfer in the common marmoset.

STAR protocols·2026
Same journal

LOTR-Seq: A protocol for large-scale simultaneous single-cell long-read genotyping of transcripts.

STAR protocols·2026
Same journal

Protocol for quantitative live-cell imaging of early GPCR trafficking using acid-stable afCFP-Venus FRET.

STAR protocols·2026
See all related articles

Related Experiment Video

Updated: Mar 29, 2026

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
09:29

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

8.0K

Protocol for pro-inflammatory microRNA motif discovery using machine learning.

Chien-Yu Lin1, Boyang Ren1, Shiming Yang1

  • 1Center for Shock, Trauma and Anesthesiology Research, University of Maryland School of Medicine, Baltimore, MD, USA.

STAR Protocols
|March 27, 2026
PubMed
Summary
This summary is machine-generated.

We developed a machine learning protocol to identify nucleotide motifs that predict the pro-inflammatory properties of microRNAs (miRNAs). This method streamlines biomarker discovery from miRNA sequences for translational applications.

Keywords:
BioinformaticsCell BiologyCell cultureCell-based AssaysGene ExpressionImmunologyMolecular BiologySequence analysis

More Related Videos

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

504
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

9.0K

Related Experiment Videos

Last Updated: Mar 29, 2026

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
09:29

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

8.0K
MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

504
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

9.0K

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Immunology

Background:

  • MicroRNAs (miRNAs) play crucial roles in regulating inflammatory responses.
  • Identifying specific miRNA sequences associated with pro-inflammatory activity is essential for understanding and manipulating immune responses.
  • Current methods for miRNA functional analysis can be time-consuming and require extensive experimental screening.

Purpose of the Study:

  • To present a novel protocol for identifying nucleotide motifs that predict the pro-inflammatory properties of miRNAs.
  • To enable systematic motif discovery and biomarker prioritization directly from miRNA sequences.
  • To streamline translational applications of miRNA research without extensive functional screening.

Main Methods:

  • The protocol involves cell culture and miRNA transfection in macrophages.
  • It integrates in vitro macrophage assays with k-mer discovery and motif searches.
  • Least absolute shrinkage and selection operator (LASSO) regression is employed to identify predictive nucleotide sequence features.

Main Results:

  • The workflow successfully identifies nucleotide motifs associated with pro-inflammatory miRNA activity.
  • It demonstrates the ability to distinguish pro-inflammatory miRNAs based on their sequence features.
  • The method provides a streamlined approach for biomarker prioritization.

Conclusions:

  • This protocol offers a systematic and efficient method for discovering sequence-based biomarkers of miRNA pro-inflammatory function.
  • It facilitates the translation of miRNA research into practical applications by reducing the need for extensive functional screening.
  • The approach enhances our ability to predict and potentially modulate miRNA-driven inflammation through sequence analysis.